"""simple docstring"""



from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate






@dataclass(frozen=snake_case_       )
class  snake_case__      (       snake_case_       ):
 _snake_case       :					str							  =						field(default="""language-modeling""",						metadata={"""include_in_asdict_even_if_is_default""": True}       )

 _snake_case       :					ClassVar[Features]							  =						Features({"""text""": Value("""string"""       )}       )
 _snake_case       :					ClassVar[Features]							  =						Features({}       )
 _snake_case       :					str							  =						"text"


 @property
 def 						a__   ( self						):
        return {self.text_column: "text"}

"""simple docstring"""



from typing import Union

import fire
import torch
from tqdm import tqdm



def 	_lowerCamelCase(	a   ,    a = "cpu"   ,    a = None				):
       __a       =    torch.load(a   ,    map_location=a				)
       for k, v in tqdm(state_dict.items()				):
              if not isinstance(a   ,    torch.Tensor				):
                     raise TypeError("FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin"				)
              __a       =    v.half()
       if save_path is None:  # overwrite src_path
              __a       =    src_path
       torch.save(a   ,    a				)


if __name__ == "__main__":
   fire.Fire(convert)
